Candice Bridge

752 total citations
34 papers, 557 citations indexed

About

Candice Bridge is a scholar working on Spectroscopy, Safety Research and Genetics. According to data from OpenAlex, Candice Bridge has authored 34 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 16 papers in Safety Research and 9 papers in Genetics. Recurrent topics in Candice Bridge's work include Mass Spectrometry Techniques and Applications (18 papers), Forensic Fingerprint Detection Methods (15 papers) and Forensic and Genetic Research (9 papers). Candice Bridge is often cited by papers focused on Mass Spectrometry Techniques and Applications (18 papers), Forensic Fingerprint Detection Methods (15 papers) and Forensic and Genetic Research (9 papers). Candice Bridge collaborates with scholars based in United States and Brazil. Candice Bridge's co-authors include Mark Marić, Edward Sisco, Michael E. Sigman, Robert B. Cody, Mary R. Williams, Jean M. MacInnis, Marcelo Henrique Sousa, Juliano de Andrade Gomes, Roman Aranda and Bianca Olivieri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and TrAC Trends in Analytical Chemistry.

In The Last Decade

Candice Bridge

31 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Candice Bridge United States 14 223 208 156 114 108 34 557
Mark Marić United States 12 104 0.5× 133 0.6× 118 0.8× 68 0.6× 17 0.2× 23 352
Robert D. Blackledge United States 12 165 0.7× 247 1.2× 74 0.5× 202 1.8× 11 0.1× 25 512
Sarah Benson Australia 12 136 0.6× 74 0.4× 43 0.3× 60 0.5× 38 0.4× 15 459
Christopher R. Dockery United States 12 45 0.2× 84 0.4× 147 0.9× 66 0.6× 150 1.4× 19 356
Luigi Ripani Italy 17 130 0.6× 39 0.2× 138 0.9× 103 0.9× 18 0.2× 22 692
Gunter Klass Australia 12 146 0.7× 79 0.4× 62 0.4× 39 0.3× 11 0.1× 21 386
RD Koons United States 12 23 0.1× 102 0.5× 72 0.5× 128 1.1× 61 0.6× 15 347
RS Nesbitt United States 7 43 0.2× 132 0.6× 21 0.1× 130 1.1× 41 0.4× 11 368
Dean D. Fetterolf United States 12 380 1.7× 42 0.2× 118 0.8× 15 0.1× 14 0.1× 18 575
Thomas A. Kubic United States 10 67 0.3× 37 0.2× 110 0.7× 39 0.3× 7 0.1× 19 452

Countries citing papers authored by Candice Bridge

Since Specialization
Citations

This map shows the geographic impact of Candice Bridge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Candice Bridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candice Bridge more than expected).

Fields of papers citing papers by Candice Bridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Candice Bridge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Candice Bridge. The network helps show where Candice Bridge may publish in the future.

Co-authorship network of co-authors of Candice Bridge

This figure shows the co-authorship network connecting the top 25 collaborators of Candice Bridge. A scholar is included among the top collaborators of Candice Bridge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Candice Bridge. Candice Bridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Bridge, Candice, et al.. (2023). Error rate and similarity determination of latent fingerprint chemistry via 1D GC and GC × GC–MS. Forensic Chemistry. 35. 100521–100521. 1 indexed citations
3.
Bridge, Candice, et al.. (2023). Morphological and chemical profiling for forensic hair examination: A review of quantitative methods. Forensic Science International. 346. 111622–111622. 10 indexed citations
4.
Bridge, Candice, et al.. (2023). Comparison of Derivatization Methods for Groomed Latent Print Residues Analysis via Gas Chromatography. SHILAP Revista de lepidopterología. 3(2). 302–315. 1 indexed citations
5.
Green, Danielle, et al.. (2022). A brief study on the effects of storage conditions on sexual lubricant components in the presence of a biological fluid. Forensic Science International. 335. 111273–111273. 2 indexed citations
6.
Braga, Jez Willian Batista, et al.. (2021). Discrimination of white automotive paint samples using ATR-FTIR and PLS-DA for forensic purposes. Talanta. 240. 123154–123154. 20 indexed citations
7.
Marić, Mark, et al.. (2021). A longevity study to determine appropriate storage conditions for sexual lubricants using spectroscopic and spectrometric techniques. Forensic Science International. 328. 111036–111036. 6 indexed citations
8.
Marić, Mark, et al.. (2021). Implementing Raman Spectroscopy as a tool to characterize sexual lubricants. Forensic Chemistry. 24. 100329–100329. 7 indexed citations
9.
Bridge, Candice, et al.. (2021). Correlation and analysis of smokeless powder, smokeless powder residues, and lab generated pyrolysis products via GC–MS. Forensic Chemistry. 23. 100316–100316. 12 indexed citations
10.
Sousa, Marcelo Henrique, et al.. (2020). Automotive paint analysis: How far has science advanced in the last ten years?. TrAC Trends in Analytical Chemistry. 132. 116061–116061. 11 indexed citations
11.
Bridge, Candice, et al.. (2020). SEM-EDS analysis and characterization of glitter and shimmer cosmetic particles. Forensic Science International. 317. 110527–110527. 9 indexed citations
12.
Bridge, Candice, et al.. (2020). Analysis of hair color and texture for forensic examinations. Journal of Forensic Sciences. 66(2). 520–533. 4 indexed citations
13.
Bridge, Candice, et al.. (2019). Rapid screening for smokeless powders using DART-HRMS and thermal desorption DART-HRMS. Forensic Chemistry. 13. 100148–100148. 15 indexed citations
14.
Bridge, Candice, et al.. (2018). Analysis and classification of smokeless powders by GC–MS and DART-TOFMS. Forensic Science International. 292. 11–22. 34 indexed citations
15.
Bridge, Candice, et al.. (2017). Determining the effect of cartridge case coatings on GSR using post-fire priming cup residue. Forensic Science International. 276. 51–63. 5 indexed citations
16.
Marić, Mark & Candice Bridge. (2016). Characterizing and classifying water-based lubricants using direct analysis in real time®time of flight mass spectrometry. Forensic Science International. 266. 73–79. 32 indexed citations
17.
Sisco, Edward, et al.. (2015). Quantifying the degradation of TNT and RDX in a saline environment with and without UV-exposure. Forensic Science International. 251. 124–131. 17 indexed citations
18.
Sisco, Edward, et al.. (2013). Screening for trace explosives by AccuTOF™-DART®: An in-depth validation study. Forensic Science International. 232(1-3). 160–168. 58 indexed citations
19.
Baudelet, Matthieu, et al.. (2009). Atmosphere issues in detection of explosives and organic residues. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7304. 73041D–73041D. 7 indexed citations
20.
Bridge, Candice. (2007). Discrimination Of Forensic Trace Evidence Using Laser Induced Breakdown Spectroscopy. Journal of International Crisis and Risk Communication Research. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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